| Does the whole exceed its parts? The effect of AI explanations on complementary team performance G Bansal, T Wu, J Zhou, R Fok, B Nushi, E Kamar, MT Ribeiro, D Weld Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 355 | 2021 |
| Beyond accuracy: The role of mental models in human-AI team performance G Bansal, B Nushi, E Kamar, WS Lasecki, DS Weld, E Horvitz Proceedings of the AAAI conference on human computation and crowdsourcing 7 …, 2019 | 317 | 2019 |
| The challenge of crafting intelligible intelligence DS Weld, G Bansal Communications of the ACM 62 (6), 70-79, 2019 | 287* | 2019 |
| Updates in human-AI teams: Understanding and addressing the performance/compatibility tradeoff G Bansal, B Nushi, E Kamar, DS Weld, WS Lasecki, E Horvitz Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2429-2437, 2019 | 250 | 2019 |
| Is the most accurate AI the best teammate? Optimizing AI for teamwork G Bansal, B Nushi, E Kamar, E Horvitz, DS Weld Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11405 …, 2021 | 110 | 2021 |
| Hierarchical summarization: Scaling up multi-document summarization J Christensen, S Soderland, G Bansal Proceedings of the 52nd annual meeting of the association for computational …, 2014 | 73 | 2014 |
| A coverage-based utility model for identifying unknown unknowns G Bansal, D Weld Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 41 | 2018 |
| Reading between the lines: Modeling user behavior and costs in AI-assisted programming H Mozannar, G Bansal, A Fourney, E Horvitz arXiv preprint arXiv:2210.14306, 2022 | 37 | 2022 |
| Do explanations help users detect errors in open-domain QA? An evaluation of spoken vs. visual explanations AV González, G Bansal, A Fan, Y Mehdad, R Jia, S Iyer Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 26* | 2021 |
| AutoGen: Enabling next-gen LLM applications via multi-agent conversation framework Q Wu, G Bansal, J Zhang, Y Wu, S Zhang, E Zhu, B Li, L Jiang, X Zhang, ... arXiv preprint arXiv:2308.08155, 2023 | 20 | 2023 |
| Emerging perspectives in human-centered machine learning G Ramos, J Suh, S Ghorashi, C Meek, R Banks, S Amershi, R Fiebrink, ... Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019 | 18 | 2019 |
| Generation probabilities are not enough: Exploring the effectiveness of uncertainty highlighting in AI-powered code completions H Vasconcelos, G Bansal, A Fourney, QV Liao, JW Vaughan arXiv preprint arXiv:2302.07248, 2023 | 17* | 2023 |
| Technology-enabled disinformation: Summary, lessons, and recommendations J Akers, G Bansal, G Cadamuro, C Chen, Q Chen, L Lin, P Mulcaire, ... arXiv preprint arXiv:1812.09383, 2018 | 17 | 2018 |
| Data staining: A method for comparing faithfulness of explainers J Sippy, G Bansal, DS Weld Proceedings of ICML Workshop on Human Interpretability in Machine Learning, 2020 | 13 | 2020 |
| Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations V Chen, QV Liao, JW Vaughan, G Bansal Proceedings of CSCW, 2023 | 11 | 2023 |
| Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers V Dibia, A Fourney, G Bansal, F Poursabzi-Sangdeh, H Liu, S Amershi Proceedings of ACL, 2022 | 6 | 2022 |
| Explanatory dialogs: Towards actionable, interactive explanations G Bansal Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 356-357, 2018 | 6 | 2018 |
| When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming H Mozannar, G Bansal, A Fourney, E Horvitz arXiv preprint arXiv:2306.04930, 2023 | 1 | 2023 |
| Workshop on Trust and Reliance in AI-Human Teams (TRAIT) G Bansal, Z Buçinca, K Holstein, J Hullman, AM Smith-Renner, S Stumpf, ... Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | | 2023 |
| Three Maxims for Developing Human-Centered AI for Decision Making G Bansal University of Washington, 2022 | | 2022 |
Daniel WeldAllen Institute for AI & University of WashingtonVerified email at cs.washington.edu
